Results 41 to 50 of about 57,627 (118)

Multimodal text-emoji fusion using deep neural networks for text-based emotion detection in online communication

Journal of Big Data
The task of emotion detection in online social communication has been explored extensively. However, these studies solely focus on textual cues. Nowadays, emojis have become increasingly popular, serving as a visual means to express emotions and ideas ...
Sheetal Kusal, Shruti Patil, Ketan Kotecha   +2 more
doaj   +1 more source

Machine learning driven optimisation of mechanical and microstructural behaviour in FFF-printed Onyx–HSHT composites

Journal of Materials Science: Materials in Engineering
Additive Manufacturing (AM) is a transformative technology that allows the construction of lightweight, high-strength composite structures with customised geometries, making it mostly suitable for aerospace, defence, and structural applications.
Bhagyashri Hiralal Dhage, Nitin K. Khedkar, Vijayshri Khedkar   +2 more
doaj   +1 more source

Forty-five years of research on corporate social responsibility (CSR) and sustainable development: an overview and research agenda

Cogent Social Sciences
This bibliometric study presents a rich academic correlation between Corporate Social Responsibility (CSR) and sustainable development in the form of a critical review of trends, significant contributions, and existing gaps in the evolving domain.
Girish Joshi, Vijay Khandare, Ranjan Kumar Dash   +2 more
doaj   +1 more source

Advances and challenges in the integration of artificial intelligence in microbial biosurfactant bioprocess

AMB Express
Microbial biosurfactants are versatile biomolecules with potential to support sustainable chemistry and bio-based solutions for climate action. However, their use remains limited primarily owing to the complexities in their bioprocess.
Vaibhav Kadam, Sheetal Kusal, Shruti Patil, Pooja Singh   +3 more
doaj   +1 more source

Dietary preferences and quality of life among dialysis patients in Pune: a cross-sectional study

BMC Nutrition
Background To assess the dietary preference and quality of life among dialysis patients in Pune. Method This cross-sectional study was conducted among 127 dialysis patients aged 18–70 through a one-on-one interview to record data on demographic ...
Devaki Gokhale, Sehlaa Kaskar, Ariti Bansal   +2 more
doaj   +1 more source

Exploring knowledge and perception of cervical cancer and screening among young women

Discover Social Science and Health
Background Cervical cancer is a significant public health concern, especially in low- and middle-income countries like India. Despite the availability of effective screening methods, the uptake of cervical cancer screening remains low, particularly among
Supriya Jagdale, Meghana Datar, Ujala Singh   +2 more
doaj   +1 more source

Parental and young adults’ perspectives on STI vaccines and hesitancy: a pilot study

Discover Social Science and Health
Background Vaccine hesitancy is a significant public health concern worldwide. Stigma associated with STIs is prevalent, leading to increased hesitancy toward STI vaccines.
Riya Jaiswal, Dwight Figueiredo, Manesh Muraleedharan   +2 more
doaj   +1 more source

AI-driven video summarization for optimizing content retrieval and management through deep learning techniques

Scientific Reports
With the rapid advancement of artificial intelligence, questions are increasingly being raised by stakeholders regarding how such technologies can enhance the environmental, social, and governance outcomes of organizations.
Deepali Vora, Payal Kadam, Dadaso D Mohite, Nilesh Kumar, Nimit Kumar, Pratheeik Radhakrishnan, Shalmali Bhagwat   +6 more
doaj   +1 more source

Impact of social media influencer content on generation Z sustainable tourism choices

Discover Sustainability
This study examines how influencer-generated content authenticity, between genuine and superficial messaging, affects sustainable travel intentions among Generation Z (Gen Z) in India.
Aditi Rajput, Aradhana Gandhi
doaj   +1 more source

A feature engineering–driven ensemble approach for accurate AQI forecasting

Discover Applied Sciences
The correct prediction of Air Quality Index (AQI) is essential in the management of the health of the population and making decisions about the environment in a timely manner.
Ojas Charjan, Krutik Gajbhiye, Janhavi Warhade, Snehlata Wankhade   +3 more
doaj   +1 more source